g.imputeTimegaps {GGIR} | R Documentation |
Impute gaps in three axis raw accelerometer data
Description
Removes all sample with a zero in each of the three axes, and then (as default) imputes time gaps by the last recorded value per axis normalised to 1 _g_
Usage
g.imputeTimegaps(x, sf, k = 0.25, impute = TRUE,
PreviousLastValue = c(0,0,1),
PreviousLastTime = NULL, epochsize = NULL)
Arguments
x |
Data.frame with raw accelerometer data, and a timestamp column with millisecond resolution. |
sf |
Sample frequency in Hertz |
k |
Minimum time gap length to be imputed |
impute |
Boolean to indicate whether the time gaps identified should be imputed |
PreviousLastValue |
Automatically identified last value in previous chunk of data read. |
PreviousLastTime |
Automatically identified last timestamp in previous chunk of data read. |
epochsize |
Numeric vector of length two, with short and long epoch sizes. |
Value
List including: - x, data.frame based on input x with timegaps imputed (as default) or with recordings with 0 values in the three axes removed (if impute = FALSE) - QClog, data.frame with information on the number of time gaps found and the total time imputed in minutes
Author(s)
Vincent T van Hees <v.vanhees@accelting.com>